Bater.Makhabel's Projects
:book: [译] 笨办法学 Linux
Mirror of official llvm git repository located at http://llvm.org/git/llvm. Updated every five minutes.
:book: [译] 笨办法学 Python · 续
Distributed storage for sequential data
We are planning for pan India campaign where we will reach out to maximum fellow Indians, our aim is to aware them about cyber security, what is privacy, cyber war, encryption, cybercrime, how to prevent cyber-crime and cyber law. To reach the target of minimum 50,000 people we need army of awesome people who can spare some time to teach people and educate them about cyber security. We are signing up people for our campaign from different-different city from all over India because we want to achieve big target but we cannot reach everywhere so we need local support from local resident from the places we are doing.
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
Python logging made (stupidly) simple
Free macOS app for iOS view debugging.
A code generator for array-based code on CPUs and GPUs
Code for visualizing the loss landscape of neural nets
Save space by quickly and losslessly trimming video and audio files
Code for the Lovász-Softmax loss (CVPR 2018)
Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
A collection of infrastructure and tools for research in neural network interpretability.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
The lxml XML toolkit for Python
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies
A beginner's guide to setting up a development environment on macOS
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
makefile 交叉编译 libmace.a,并能在嵌入式端调用GPU来跑深度学习模型
Deep Reinforcement Learning framework
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Content for Udacity's Machine Learning curriculum
My solutions to Kevin Murphy Machine Learning Book
Public repo for DeepLearning.AI MLEP Specialization
The comparison of the performance of different machine learning methods for computer security problems